On a Class of Composition Operators on Bergman Space. - Namita Das; Rajendra Prasad Lal; Chandra Kishore Mohapatra (Int. J. Math. Math. Sci., 2007)

Topic Modelling for Songs. - Nishma Laitonjam; Vineet Padmanabhan; Arun K. Pujari; Rajendra Prasad Lal (ICIT, 2015)

Event Detection and Aspects in Twitter: A BoW Approach. - Abhaya Kumar Pradhan; Hrushikesha Mohanty; Rajendra Prasad Lal (ICDCIT, 2019)

Identifying Class Specific Filters with L1 Norm Frequency Histograms in Deep CNNs. - Akshay Badola; Cherian Roy; Vineet Padmanabhan; Rajendra Prasad Lal (CoRR, 2021)

Enhanced Recommender Systems with the Removal of Fake User Profiles. - Jagjeet Suryawanshi; Saifulla Md. Abdul; Rajendra Prasad Lal; Amarajyothi Aramanda; Nazrul Hoque; Nooraini Yusoff (ICMLDE, 2023)

Re-examining Class Selectivity in Deep Convolutional Networks. - Akshay Badola; Vineet Padmanabhan; Rajendra Prasad Lal (MIWAI, 2023)

Decomposing the deep: finding class-specific filters in deep CNNs. - Akshay Badola; Cherian Roy; Vineet Padmanabhan; Rajendra Prasad Lal (Neural Comput. Appl., 2023)

Interpretable Visual Semantic Alignment via Spectral Attribution. - Shivanvitha Ambati; Vineet Padmanabhan; Wilson Naik Bhukya; Rajendra Prasad Lal (ICPR (26), 2024)

Selecting Influential Nodes in Social Networks Using Neighborhood Coreness. - N. Govind; Rajendra Prasad Lal (SN Comput. Sci., 2024)

Advanced Method for Flow Frequency Estimation and Top-k Heavy Hitters Detection in SDN Leveraging Programmable Switch. - Ali Nadim Alhaj; Wilson Naik Bhukya; Rajendra Prasad Lal (ICDCN, 2025)

A novel space-efficient method for detecting network-wide heavy hitters in software-defined networking using P4-switch. - Ali Nadim Alhaj; Wilson Naik Bhukya; Rajendra Prasad Lal (Int. Arab J. Inf. Technol., 2025)